The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "22136954 (up from 21881858 yesterday: 1.17 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "780908 (up from 774034 yesterday: 0.89 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5445427

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.53



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5482416 44091 0.81 1126210 171821 1324 0.78 3.13
Brazil 3407354 47784 1.42 924163 109888 1352 1.25 3.23
India 2767253 64572 2.39 1284097 52888 1091 2.11 1.91
Russia 930276 4718 0.51 108216 15836 129 0.82 1.70
South Africa 592144 2258 0.38 132383 12264 282 2.35 2.07
Peru 541493 5547 1.03 146488 26481 200 0.76 4.89
Mexico 531239 5506 1.05 128542 57774 751 1.32 10.88
Colombia 489122 12462 2.61 221737 15619 247 1.61 3.19
Chile 388855 1353 0.35 39055 10546 33 0.31 2.71
Spain 364196 5114 1.42 83586 28670 24 0.08 7.87
Iran 347835 2385 0.69 51562 19972 168 0.85 5.74
United Kingdom 322177 1113 0.35 19882 41466 12 0.03 12.87
Argentina 305966 6840 2.29 132611 6048 234 4.02 1.98
Saudi Arabia 301323 1409 0.47 30492 3470 34 0.99 1.15
Pakistan 289832 617 0.21 14607 6190 15 0.24 2.14
Bangladesh 282344 3200 1.15 53159 3740 46 1.25 1.32
France 256534 1 0.00 35457 30434 0 0.00 11.86
Italy 254636 401 0.16 8148 35405 5 0.01 13.90
Turkey 251805 1263 0.50 23823 6016 20 0.33 2.39
Germany 228120 1420 0.63 20413 9241 5 0.05 4.05
Iraq 184709 4576 2.54 69377 6036 82 1.38 3.27
Philippines 169213 4739 2.88 85540 2687 6 0.22 1.59
Indonesia 143043 1673 1.18 40992 6277 70 1.13 4.39
Canada 125084 866 0.70 8213 9090 15 0.17 7.27
Qatar 115661 293 0.25 5781 193 0 0.00 0.17
Kazakhstan 103571 271 0.26 17379 1415 146 11.51 1.37
Bolivia 103019 1796 1.77 30692 4172 49 1.19 4.05
Ecuador 102941 1190 1.17 20662 6105 22 0.36 5.93
Egypt 96753 163 0.17 3806 5184 11 0.21 5.36
Ukraine 96653 1646 1.73 28623 2152 30 1.41 2.23
Israel 96409 1658 1.75 30116 708 16 2.31 0.73
China 89494 53 0.06 2504 4705 2 0.04 5.26
Dominican Republic 87123 386 0.45 22433 1489 8 0.54 1.71
Sweden 85219 174 0.20 5725 5790 3 0.05 6.79
Oman 83418 192 0.23 5514 597 9 1.53 0.72
Panama 82790 247 0.30 20567 1809 21 1.17 2.19
Belgium 78897 363 0.46 12235 9959 15 0.15 12.62
Kuwait 77470 643 0.84 12321 505 3 0.60 0.65
Romania 72208 1014 1.42 25155 3074 45 1.49 4.26
Belarus 69673 84 0.12 2307 617 4 0.65 0.89
Netherlands 65560 580 0.89 11913 6197 3 0.05 9.45
United Arab Emirates 64906 365 0.57 5360 366 2 0.55 0.56
Guatemala 63847 903 1.43 17396 2419 30 1.26 3.79
Poland 57876 597 1.04 13972 1896 11 0.58 3.28
Japan 57636 919 1.62 25520 1135 23 2.07 1.97
Singapore 55938 100 0.18 4741 27 0 0.00 0.05
Portugal 54448 214 0.39 4038 1784 5 0.28 3.28
Honduras 51670 675 1.32 11210 1593 10 0.63 3.08
Nigeria 49895 410 0.83 8091 981 4 0.41 1.97
Bahrain 47581 396 0.84 7660 175 2 1.16 0.37
Morocco 44803 1245 2.86 23416 714 33 4.85 1.59
Ghana 42993 340 0.80 8587 248 9 3.77 0.58
Kyrgyzstan 42146 155 0.37 8302 1498 2 0.13 3.55
Armenia 41846 145 0.35 4217 832 8 0.97 1.99
Algeria 39444 419 1.07 10829 1391 12 0.87 3.53
Switzerland 38449 197 0.52 3840 1992 1 0.05 5.18
Afghanistan 37599 0 0.00 1231 1375 0 0.00 3.66
Uzbekistan 36352 650 1.82 14653 242 6 2.54 0.67
Venezuela 35697 895 2.57 19126 297 9 3.12 0.83
Azerbaijan 34474 131 0.38 3616 509 1 0.20 1.48
Ethiopia 32722 1386 4.42 17522 572 28 5.15 1.75
Moldova 30789 412 1.36 7268 908 0 0.00 2.95
Kenya 30636 271 0.89 12055 487 5 1.04 1.59
Serbia 29890 108 0.36 5370 681 4 0.59 2.28
Costa Rica 29643 559 1.92 13299 314 10 3.29 1.06
Nepal 28257 1016 3.73 9194 114 7 6.54 0.40
Ireland 27499 186 0.68 1570 1775 1 0.06 6.45
Australia 23989 216 0.91 8407 450 12 2.74 1.88
Austria 23829 295 1.25 3152 729 0 0.00 3.06
El Salvador 23462 269 1.16 8016 625 7 1.13 2.66
Czechia 20483 281 1.39 4684 401 2 0.50 1.96
Cameroon 18599 17 0.09 1420 406 3 0.74 2.18
West Bank and Gaza 17306 462 2.74 6368 113 0 0.00 0.65
Cote d’Ivoire 17150 43 0.25 1437 110 0 0.00 0.64
Bosnia and Herzegovina 16351 240 1.49 5585 495 9 1.85 3.03
Denmark 16246 119 0.74 2435 621 0 0.00 3.82
Korea, South 16058 297 1.88 1807 306 0 0.00 1.91
Bulgaria 14669 169 1.17 3798 519 7 1.37 3.54
Madagascar 14009 123 0.89 3905 173 2 1.17 1.23
North Macedonia 12970 130 1.01 2655 549 2 0.37 4.23
Sudan 12485 75 0.60 989 805 2 0.25 6.45
Senegal 12305 68 0.56 2500 256 0 0.00 2.08
Kosovo 11545 270 2.39 3893 390 0 0.00 3.38
Paraguay 10606 471 4.65 5932 161 16 11.03 1.52
Norway 10111 51 0.51 961 262 1 0.38 2.59

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 638140 8725 1.39 167378 11504 208 1.84 1.80 16150.45 291.15 1 in 62
Florida 579932 3838 0.67 137955 9758 219 2.30 1.68 27001.54 454.33 1 in 37
Texas 568812 7702 1.37 160319 10678 231 2.21 1.88 19616.99 368.26 1 in 51
New York 426571 655 0.15 13693 32857 11 0.03 7.70 21927.66 1689.00 1 in 46
Georgia 241677 2816 1.18 66625 4794 67 1.42 1.98 22762.30 451.52 1 in 44
Illinois 210924 1739 0.83 35956 7994 27 0.34 3.79 16645.12 630.85 1 in 60
Arizona 194920 915 0.47 28986 4529 23 0.51 2.32 25597.21 594.76 1 in 39
New Jersey 188098 331 0.18 7803 15925 9 0.06 8.47 21176.98 1792.91 1 in 47
North Carolina 146779 1263 0.87 30079 2396 48 2.04 1.63 13994.83 228.45 1 in 71
Louisiana 139125 640 0.46 28087 4554 28 0.62 3.27 29927.12 979.61 1 in 33
Tennessee 135770 1026 0.76 36726 1424 37 2.67 1.05 19869.24 208.40 1 in 50
Pennsylvania 130247 600 0.46 16164 7474 21 0.28 5.74 10173.97 583.82 1 in 98
Massachusetts 124063 222 0.18 7881 8848 6 0.07 7.13 17852.07 1273.18 1 in 56
Alabama 110361 1357 1.24 27995 1936 11 0.57 1.75 22508.02 394.85 1 in 44
Ohio 109910 848 0.78 23413 3866 34 0.89 3.52 9402.78 330.74 1 in 106
Virginia 108282 861 0.80 21288 2396 11 0.46 2.21 12686.05 280.71 1 in 79
South Carolina 107672 719 0.67 23563 2343 55 2.40 2.18 20912.41 455.07 1 in 48
Michigan 103402 653 0.64 15444 6608 16 0.24 6.39 10353.81 661.67 1 in 97
Maryland 101235 520 0.52 15711 3650 9 0.25 3.61 16745.01 603.74 1 in 60
Indiana 81847 841 1.04 18169 3165 30 0.96 3.87 12157.51 470.13 1 in 82
Mississippi 73207 795 1.10 19122 2127 32 1.53 2.91 24597.89 714.68 1 in 41
Missouri 70055 830 1.20 24874 1425 10 0.71 2.03 11414.39 232.18 1 in 88
Washington 68263 542 0.80 14058 1808 23 1.29 2.65 8964.41 237.43 1 in 112
Wisconsin 66196 0 0.00 16017 1039 0 0.00 1.57 11369.13 178.45 1 in 88
Minnesota 66092 376 0.57 13811 1767 9 0.51 2.67 11719.20 313.32 1 in 85
Nevada 62639 672 1.08 17703 1102 25 2.32 1.76 20336.31 357.77 1 in 49
Colorado 53612 261 0.49 8316 1899 3 0.16 3.54 9309.68 329.76 1 in 107
Arkansas 53487 410 0.77 13306 619 16 2.65 1.16 17723.69 205.11 1 in 56
Iowa 53201 372 0.70 10273 1002 15 1.52 1.88 16862.07 317.58 1 in 59
Connecticut 51255 -12 -0.02 2178 4456 0 0.00 8.69 14376.12 1249.83 1 in 70
Oklahoma 49312 601 1.23 15537 679 14 2.11 1.38 12462.06 171.60 1 in 80
Utah 47157 263 0.56 8302 369 5 1.37 0.78 14709.18 115.10 1 in 68
Kentucky 40299 608 1.53 12188 830 12 1.47 2.06 9020.13 185.78 1 in 111
Kansas 34874 260 0.75 8816 411 5 1.23 1.18 11970.56 141.08 1 in 84
Nebraska 29853 -710 -2.32 4696 369 7 1.93 1.24 15432.63 190.76 1 in 65
Idaho 28321 384 1.37 9101 282 9 3.30 1.00 15803.56 157.36 1 in 63
Puerto Rico 27713 953 3.56 11873 346 11 3.28 1.25 8677.41 108.34 1 in 115
Oregon 23676 225 0.96 6268 397 9 2.32 1.68 5613.44 94.13 1 in 178
New Mexico 23579 79 0.34 3788 723 5 0.70 3.07 11245.08 344.81 1 in 89
Rhode Island 20692 120 0.58 1967 1024 1 0.10 4.95 19532.53 966.62 1 in 51
Delaware 16593 57 0.34 2117 593 0 0.00 3.57 17040.06 608.98 1 in 59
District of Columbia 13325 52 0.39 1380 599 2 0.34 4.50 18880.65 848.74 1 in 53
South Dakota 10441 81 0.78 1949 154 1 0.65 1.47 11802.29 174.08 1 in 85
North Dakota 8782 135 1.56 2641 128 2 1.59 1.46 11524.00 167.97 1 in 87
West Virginia 8738 97 1.12 2618 162 2 1.25 1.85 4889.36 90.65 1 in 205
New Hampshire 7017 13 0.19 517 424 1 0.24 6.04 5160.66 311.83 1 in 194
Montana 5846 54 0.93 2372 84 2 2.44 1.44 5469.80 78.59 1 in 183
Hawaii 5349 134 2.57 3592 41 1 2.50 0.77 3777.88 28.96 1 in 265
Alaska 4371 62 1.44 1641 29 1 3.57 0.66 5975.03 39.64 1 in 167
Maine 4213 16 0.38 375 127 0 0.00 3.01 3134.18 94.48 1 in 319
Wyoming 3360 29 0.87 771 30 0 0.00 0.89 5805.53 51.84 1 in 172
Vermont 1530 3 0.20 125 58 0 0.00 3.79 2451.97 92.95 1 in 408

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10049039 638140 6.35 2631173 167378 6.36 254327.4
2 Florida 4279040 579932 13.55 798741 137955 17.27 199231.4
3 Texas 4500645 568812 12.64 1023719 160319 15.66 155216.7
4 New York 7191978 426571 5.93 1507432 13693 0.91 369699.8
5 Georgia 2060319 241677 11.73 572993 66625 11.63 194050.8
6 Illinois 3440604 210924 6.13 868897 35956 4.14 271516.2
7 Arizona 1103997 194920 17.66 213066 28986 13.60 144978.7
8 New Jersey 2532745 188098 7.43 548441 7803 1.42 285148.7
9 North Carolina 1951120 146779 7.52 287580 30079 10.46 186032.1
10 Louisiana 1689991 139125 8.23 413687 28087 6.79 363533.2
11 Tennessee 1894372 135770 7.17 482920 36726 7.60 277231.6
12 Pennsylvania 1479566 130247 8.80 310406 16164 5.21 115573.1
13 Massachusetts 1476567 124063 8.40 335451 7881 2.35 212470.9
14 Alabama 868259 110361 12.71 202860 27995 13.80 177080.6
15 Ohio 1868998 109910 5.88 470265 23413 4.98 159892.4
16 Virginia 1390305 108282 7.79 330895 21288 6.43 162884.6
17 South Carolina 878481 107672 12.26 208151 23563 11.32 170621.4
18 Michigan 2362525 103402 4.38 634643 15444 2.43 236563.4
19 Maryland 1167305 101235 8.67 299049 15711 5.25 193080.8
20 Indiana 928614 81847 8.81 211805 18169 8.58 137935.8
21 Mississippi 525384 73207 13.93 92251 19122 20.73 176531.5
22 Missouri 867481 70055 8.08 214557 24874 11.59 141342.8
23 Washington 1017828 68263 6.71 84524 14058 16.63 133662.8
24 Wisconsin 1146821 66196 5.77 255190 16017 6.28 196965.9
25 Minnesota 1003306 66092 6.59 23318 13811 59.23 177902.7
26 Nevada 553928 62639 11.31 103042 17703 17.18 179837.6
27 Colorado 881252 53612 6.08 380822 8316 2.18 153028.7
28 Arkansas 633062 53487 8.45 143156 13306 9.29 209774.3
29 Iowa 557098 53201 9.55 99663 10273 10.31 176572.3
30 Connecticut 992731 51255 5.16 240043 2178 0.91 278443.5
31 Oklahoma 775000 49312 6.36 185874 15537 8.36 195856.9
32 Utah 606516 47157 7.78 92007 8302 9.02 189184.0
33 Kentucky 726900 40299 5.54 169187 12188 7.20 162702.1
34 Kansas 354262 34874 9.84 75326 8816 11.70 121601.0
35 Nebraska 325487 29853 9.17 64384 4696 7.29 168261.8
36 Idaho 226869 28321 12.48 56152 9101 16.21 126596.4
38 Oregon 496338 23676 4.77 108682 6268 5.77 117678.8
39 New Mexico 677150 23579 3.48 148260 3788 2.55 322940.0
40 Rhode Island 436191 20692 4.74 235231 1967 0.84 411749.2
41 Delaware 213845 16593 7.76 39222 2117 5.40 219606.6
42 District of Columbia 249478 13325 5.34 71456 1380 1.93 353494.0
43 South Dakota 130013 10441 8.03 22522 1949 8.65 146964.0
44 North Dakota 180928 8782 4.85 30882 2641 8.55 237419.0
45 West Virginia 365725 8738 2.39 95881 2618 2.73 204641.8
46 New Hampshire 186907 7017 3.75 30824 517 1.68 137460.8
47 Montana 205512 5846 2.84 44104 2372 5.38 192286.9
48 Hawaii 164199 5349 3.26 50056 3592 7.18 115970.2
49 Alaska 310009 4371 1.41 96134 1641 1.71 423773.0
50 Maine 214326 4213 1.97 55226 375 0.68 159443.6
51 Wyoming 62441 3360 5.38 11661 771 6.61 107887.7
52 Vermont 114097 1530 1.34 22236 125 0.56 182851.0

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 628642 13165 2.14 446881 71.09 160413 21033 346 1.67 3.35
Tamil Nadu 355449 5795 1.66 296171 83.32 53155 6123 116 1.93 1.72
Andhra Pradesh 316003 9742 3.18 226372 71.64 86725 2906 86 3.05 0.92
Karnataka 240948 0 0.00 156949 65.14 79782 4201 0 0.00 1.74
Uttar Pradesh 167510 5076 3.12 115227 68.79 49645 2638 53 2.05 1.57
Delhi 156139 1398 0.90 140767 90.15 11137 4235 9 0.21 2.71
West Bengal 125922 3169 2.58 95663 75.97 27678 2581 53 2.10 2.05
Bihar 112759 2884 2.62 84578 75.01 27612 568 10 1.79 0.50
Telangana 95700 1763 1.88 73991 77.32 20990 719 8 1.13 0.75
Assam 82202 0 0.00 58295 70.92 23701 203 0 0.00 0.25
Gujarat 82087 1145 1.41 64930 79.10 14320 2837 17 0.60 3.46
Odisha 67122 2589 4.01 45315 67.51 21382 425 10 2.41 0.63
Rajasthan 64676 699 1.09 49084 75.89 14684 908 10 1.11 1.40
Kerala 50231 2333 4.87 32607 64.91 17383 183 7 3.98 0.36
Haryana 48936 0 0.00 41298 84.39 7081 557 0 0.00 1.14
Madhya Pradesh 48351 976 2.06 36475 75.44 10717 1159 18 1.58 2.40
Punjab 36083 1683 4.89 22703 62.92 12460 920 22 2.45 2.55
Jammu and Kashmir 30034 708 2.41 22497 74.91 6965 572 11 1.96 1.90
Jharkhand 25333 0 0.00 15709 62.01 9359 265 0 0.00 1.05
Chhattisgarh 16833 0 0.00 10847 64.44 5828 158 0 0.00 0.94
Uttarakhand 12961 0 0.00 8724 67.31 4024 164 0 0.00 1.27
Goa 12675 342 2.77 8713 68.74 3838 124 8 6.90 0.98
Puducherry 8752 356 4.24 5312 60.69 3311 129 6 4.88 1.47
Tripura 7660 236 3.18 5497 71.76 2080 65 3 4.84 0.85
Manipur 4876 111 2.33 2885 59.17 1973 18 0 0.00 0.37
Himachal Pradesh 4318 83 1.96 2951 68.34 1305 20 2 11.11 0.46
Nagaland 3558 38 1.08 1706 47.95 1838 7 0 0.00 0.20
Arunachal Pradesh 2875 0 0.00 1949 67.79 921 5 0 0.00 0.17
Andaman and Nicobar Islands 2529 0 0.00 1421 56.19 1078 30 0 0.00 1.19
Chandigarh 2396 91 3.95 1351 56.39 1012 31 1 3.33 1.29
Ladakh 2010 0 0.00 1395 69.40 598 17 0 0.00 0.85
Dadra and Nagar Haveli and Daman and Diu 1987 28 1.43 1536 77.30 432 2 0 0.00 0.10
Meghalaya 1506 49 3.36 694 46.08 806 6 0 0.00 0.40
Sikkim 1207 0 0.00 755 62.55 450 2 0 0.00 0.17
Mizoram 860 45 5.52 384 44.65 476 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1423476 97473 50 0.05 6.85 150 14 5314 16840 17.28
Piemonte 540445 32127 27 0.08 5.94 80 3 897 4141 12.89
Emilia-Romagna 780697 30498 21 0.07 3.91 72 4 1789 4454 14.60
Veneto 1389155 21316 60 0.28 1.53 42 6 1688 2098 9.84
Toscana 474476 10885 31 0.29 2.29 16 4 718 1139 10.46
Liguria 213677 10501 27 0.26 4.91 25 1 322 1569 14.94
Lazio 463468 9221 43 0.47 1.99 218 6 1359 871 9.45
Marche 185136 7058 15 0.21 3.81 13 1 205 987 13.98
Campania 366453 5347 35 0.66 1.46 49 2 596 440 8.23
P.A. Trento 170637 5006 2 0.04 2.93 2 1 59 405 8.09
Puglia 270938 4882 20 0.41 1.80 53 3 340 555 11.37
Sicilia 313011 3793 13 0.34 1.21 54 6 722 286 7.54
Abruzzo 141741 3570 5 0.14 2.52 27 1 258 472 13.22
Friuli Venezia Giulia 288238 3522 10 0.28 1.22 5 3 204 348 9.88
P.A. Bolzano 123161 2804 0 0.00 2.28 8 1 127 292 10.41
Umbria 135130 1559 10 0.65 1.15 9 1 93 80 5.13
Sardegna 119093 1512 12 0.80 1.27 9 0 122 134 8.86
Calabria 138078 1357 5 0.37 0.98 10 1 154 97 7.15
Valle d’Aosta 23451 1218 0 0.00 5.19 1 0 8 146 11.99
Molise 30210 496 9 1.85 1.64 0 0 44 23 4.64
Basilicata 51388 491 8 1.66 0.96 0 0 70 28 5.70

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61252 46 0.08 5727 6 0.10 9.35 7174.32 670.79 1 in 139
Ontario 42800 114 0.27 2837 1 0.04 6.63 2909.22 192.84 1 in 344
Alberta 12419 366 3.04 225 4 1.81 1.81 2814.09 50.98 1 in 355
British Columbia 4677 319 7.32 198 2 1.02 4.23 915.10 38.74 1 in 1093
Saskatchewan 1582 1 0.06 22 0 0.00 1.39 1338.79 18.62 1 in 747
Nova Scotia 1075 0 0.00 64 0 0.00 5.95 1099.79 65.48 1 in 909
Manitoba 748 17 2.33 11 2 22.22 1.47 543.01 7.99 1 in 1842
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 186 0 0.00 2 0 0.00 1.08 238.46 2.56 1 in 4194
Prince Edward Island 44 3 7.32 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4560 71 1.56
Guangdong 1725 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 902 3 0.33
Shanghai 850 7 0.82
Shandong 823 7 0.85
Jiangsu 664 0 0.00
Sichuan 626 3 0.48
Chongqing 583 6 1.03
Fujian 370 1 0.27
Shaanxi 358 3 0.84
Hebei 351 6 1.71
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 209 3 1.44
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16755.55 525.13 1 in 60
Brazil 16279.76 525.03 1 in 61
India 2066.66 39.50 1 in 484
Russia 6437.90 109.59 1 in 155
South Africa 10439.77 216.22 1 in 96
Peru 16832.24 823.16 1 in 59
Mexico 4111.76 447.17 1 in 243
Colombia 9967.84 318.30 1 in 100
Chile 21543.21 584.27 1 in 46
Spain 7805.32 614.44 1 in 128
Iran 4285.79 246.08 1 in 233
United Kingdom 4849.14 624.11 1 in 206
Argentina 6911.36 136.62 1 in 145
Saudi Arabia 9147.63 105.34 1 in 109
Pakistan 1471.23 31.42 1 in 680
Bangladesh NA NA 1 in NA
France 3829.44 454.31 1 in 261
Italy 4210.25 585.40 1 in 238
Turkey 3116.01 74.45 1 in 321
Germany 2755.41 111.62 1 in 363

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 230742 23642 10.25
Los Angeles California 224105 5340 2.38
Miami-Dade Florida 146990 2126 1.45
Maricopa Arizona 129958 2612 2.01
Cook Illinois 117171 4974 4.25
Harris Texas 93872 1875 2.00
Broward Florida 67193 1025 1.53
Dallas Texas 66065 839 1.27
Clark Nevada 54076 937 1.73
Riverside California 47490 912 1.92
Bexar Texas 44265 913 2.06
Suffolk New York 44235 2000 4.52
Orange California 44212 815 1.84
Nassau New York 44001 2195 4.99
San Bernardino California 42150 616 1.46
Palm Beach Florida 39460 1006 2.55
Westchester New York 36540 1448 3.96
Tarrant Texas 36239 513 1.42
San Diego California 34960 626 1.79
Hillsborough Florida 34605 490 1.42
Orange Florida 33709 352 1.04
Philadelphia Pennsylvania 32432 1717 5.29
Wayne Michigan 29394 2845 9.68
Kern California 26968 216 0.80
Middlesex Massachusetts 26565 2006 7.55
Shelby Tennessee 24905 340 1.37
Prince George’s Maryland 24888 769 3.09
Duval Florida 24836 230 0.93
Travis Texas 24759 337 1.36
Mecklenburg North Carolina 23318 259 1.11
Hidalgo Texas 22826 999 4.38
Fulton Georgia 22484 477 2.12
Milwaukee Wisconsin 22334 466 2.09
Davidson Tennessee 22190 231 1.04
Suffolk Massachusetts 22017 1076 4.89
Salt Lake Utah 21951 215 0.98
Gwinnett Georgia 21936 293 1.34
Bergen New Jersey 21303 2036 9.56
Fresno California 21010 208 0.99
Hennepin Minnesota 20722 851 4.11
Essex New Jersey 20001 2111 10.55
Pima Arizona 19976 534 2.67
Hudson New Jersey 19936 1509 7.57
Franklin Ohio 19818 542 2.73
Montgomery Maryland 19127 812 4.25
Pinellas Florida 18876 570 3.02
El Paso Texas 18682 366 1.96
Fairfield Connecticut 18322 1411 7.70
Cameron Texas 18170 589 3.24
Middlesex New Jersey 18133 1416 7.81
Passaic New Jersey 18002 1245 6.92
Essex Massachusetts 17930 1194 6.66
King Washington 17908 698 3.90
Lee Florida 17495 384 2.19
Nueces Texas 17322 295 1.70
Fairfax Virginia 17154 537 3.13
Out of GA Georgia 16996 103 0.61
St. Louis Missouri 16968 705 4.15
Union New Jersey 16898 1350 7.99
Marion Indiana 16869 738 4.37
Oakland Michigan 16639 1144 6.88
Jefferson Louisiana 15865 532 3.35
Providence Rhode Island 15644 0 0.00
Polk Florida 15607 387 2.48
Alameda California 15437 224 1.45
DeKalb Georgia 15312 266 1.74
San Joaquin California 15201 280 1.84
Cobb Georgia 15086 349 2.31
Santa Clara California 14636 209 1.43
Sacramento California 14602 219 1.50
Cuyahoga Ohio 14487 541 3.73
Jefferson Alabama 14198 264 1.86
Baltimore Maryland 14116 576 4.08
Rockland New York 14053 674 4.80
Worcester Massachusetts 13686 1007 7.36
Baltimore City Maryland 13566 444 3.27
Lake Illinois 13485 452 3.35
New Haven Connecticut 13376 1109 8.29
District of Columbia District of Columbia 13325 599 4.50
DuPage Illinois 13151 527 4.01
Fort Bend Texas 13034 194 1.49
Charleston South Carolina 12956 217 1.67
Hartford Connecticut 12949 1420 10.97
East Baton Rouge Louisiana 12942 388 3.00
Wake North Carolina 12847 185 1.44
Tulare California 12718 206 1.62
Stanislaus California 12668 200 1.58
Douglas Nebraska 11978 147 1.23
Yuma Arizona 11908 294 2.47
Oklahoma Oklahoma 11801 132 1.12
Contra Costa California 11668 157 1.35
Tulsa Oklahoma 11614 120 1.03
Macomb Michigan 11484 956 8.32
Greenville South Carolina 11327 235 2.07
Orange New York 11269 491 4.36
Mobile Alabama 11138 229 2.06
Polk Iowa 11101 212 1.91
Orleans Louisiana 11039 568 5.15
Collier Florida 10977 159 1.45
Ocean New Jersey 10805 1020 9.44

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc